RecycAI

Inspiration

Recycling is often confusing due to inconsistent regulations across cities, leading to high contamination rates in recycling bins. Many people unknowingly misplace waste, contributing to landfill overflow and environmental harm. We wanted to create a smart, AI-powered solution to simplify waste sorting, reduce contamination, and promote sustainable recycling habits.

What It Does

RecycAI helps users determine whether an item is recyclable based on their location-specific recycling regulations by:

• 📸 Accepting an image of an item from the user
• 🤖 Using Google Gemini AI to analyze and classify the object
• 🌍 Cross-referencing city-specific recycling rules to determine if the item is recyclable
• ✅ Providing instant feedback on proper waste disposal

How We Built It

• Frontend: Built with React, HTML, CSS and JavaScript for an interactive and responsive user interface
• AI Model: Integrated Google Gemini AI for real-time image recognition
• Deployment: Hosted the app on Google Cloud for scalability

Challenges We Ran Into

• Idea Selection Conflict – We spent nearly three hours debating between different AI-powered ideas, including an animated mental health chatbot and a sign language translator for virtual meetings. We resolved this by seeking feedback from mentors and other participants, which helped us choose a feasible solution within our time constraints.
• AI Image Classification Accuracy – Using Google Gemini AI for object identification and mapping to recycling rules required extensive prompt engineering to improve accuracy.

Accomplishments That We're Proud Of

• 🏆 Successfully integrated AI into waste sorting, making recycling easier for individuals
• 🏆 Built a functional prototype in under 24 hours
• 🏆 Created an intuitive and user-friendly interface that simplifies waste disposal

What We Learned

• 📌 Effective teamwork is key—by seeking external opinions, we avoided bias and made an informed decision
• 📌 AI has immense potential in sustainability—we explored how machine learning can be applied to environmental challenges
• 📌 Time management in hackathons—we learned to prioritize core functionalities to deliver a working solution

What's Next for RecycAI

⭐ Public Smart Waste Bins – Future iterations could introduce AI-powered smart bins that use a mounted camera (similar to Ring doorbells) to automatically sort waste

⭐ Expanded Dataset – Collect more detailed recycling data from additional cities and international locations

⭐ Enhanced AI Accuracy – Fine-tune the Google Gemini model to improve waste classification accuracy

⭐ Gamification & Incentives – Develop a reward system that encourages users to recycle properly by tracking their recycling habits

With more resources, RecycAI could redefine waste management and make recycling effortless for everyone! 🌍♻️

Built With

• css
• gemini
• html
• javascript
• react